AI benchmarks have a trust problem and Google wants to fix it

Google DeepMind is piloting a double-blind evaluation of a frontier AI model for the first time, using cryptographic protection through Confidential Space to prevent Google from seeing test questions and evaluators from seeing model weights. The pilot with the Singapore AI Safety Institute uses a Gemini Flash Lite model and could establish a new standard for tamper-proof AI benchmarks.